Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use jxAIbot/init_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jxAIbot/init_train with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jxAIbot/init_train") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 3e4b49055c3122ac0da68c7fd619a5c4519486ee96e30afb52370ad3dcc230ad
- Size of remote file:
- 1.06 MB
- SHA256:
- 6924cd296ebcb7b3b0eec79ab6fc66060d253b56a6205cde872a357f2d1239b6
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